doc_id
string
arxiv_id
string
title
string
text
string
url
string
doi
string
category
string
published
string
era
string
dendro_not_after
string
dendro_not_after_year
int64
dendro_human_origin_p
float64
dendro_ci_low
float64
dendro_ci_high
float64
dendro_abstained
bool
dendro_operators
int64
dendro_evidence_logodds
float64
dendro_flags
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low_background
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arxiv:1907.05525
1907.05525
Geographical Distribution of Biomedical Research in the USA and China
Geographical Distribution of Biomedical Research in the USA and China We analyze nearly 20 million geocoded PubMed articles with author affiliations. Using K-means clustering for the lower 48 US states and mainland China, we find that the average published paper is within a relatively short distance of a few centroids...
https://arxiv.org/abs/1907.05525
10.1145/3127526.3127534
cs.DL
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05527
1907.05527
A Federated Lightweight Authentication Protocol for the Internet of Things
A Federated Lightweight Authentication Protocol for the Internet of Things Considering the world's IoT development and market, it is necessary to guarantee the security of the developed IoT applications as well as the privacy of their end users. In this sense, Federated Identity Management (FIdM) systems can be of gre...
https://arxiv.org/abs/1907.05527
null
cs.CR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05530
1907.05530
Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions Interference is traditionally viewed as a performance limiting factor in wireless communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of work has shown that by manipulating the i...
https://arxiv.org/abs/1907.05530
null
eess.SP
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05552
1907.05552
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Brick-Kiln-Belt" of South Asia. The ...
https://arxiv.org/abs/1907.05552
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05553
1907.05553
MLR (Memory, Learning and Recognition): A General Cognitive Model -- applied to Intelligent Robots and Systems Control
MLR (Memory, Learning and Recognition): A General Cognitive Model -- applied to Intelligent Robots and Systems Control This paper introduces a new perspective of intelligent robots and systems control. The presented and proposed cognitive model: Memory, Learning and Recognition (MLR), is an effort to bridge the gap be...
https://arxiv.org/abs/1907.05553
null
cs.AI
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05559
1907.05559
NPA: Neural News Recommendation with Personalized Attention
NPA: Neural News Recommendation with Personalized Attention News recommendation is very important to help users find interested news and alleviate information overload. Different users usually have different interests and the same user may have various interests. Thus, different users may click the same news article w...
https://arxiv.org/abs/1907.05559
10.1145/3292500.3330665
cs.IR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05560
1907.05560
Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures
Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures In this work an astrophysical simulation code, XFLAT, is developed to study neutrino oscillations in supernovae. XFLAT is designed to utilize multiple levels of parallelism through MPI, OpenMP, and SIMD instructions (vectorization). ...
https://arxiv.org/abs/1907.05560
null
cs.DC
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05564
1907.05564
Framework Code Samples: How Are They Maintained and Used by Developers?
Framework Code Samples: How Are They Maintained and Used by Developers? Background: Modern software systems are commonly built on the top of frameworks. To accelerate the learning process of features provided by frameworks, code samples are made available to assist developers. However, we know little about how code sa...
https://arxiv.org/abs/1907.05564
null
cs.SE
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05568
1907.05568
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization Non-negative Matrix Factorization (NMF) asks to decompose a (entry-wise) non-negative matrix into the product of two smaller-sized nonnegative matrices, which has been shown intractable in general. In order to overcome this issue, t...
https://arxiv.org/abs/1907.05568
null
cs.DS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05570
1907.05570
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning Generalized zero-shot learning (GZSL) is a challenging class of vision and knowledge transfer problems in which both seen and unseen classes appear during testing. Existing GZSL approaches either suffer from semantic loss and discard disc...
https://arxiv.org/abs/1907.05570
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05571
1907.05571
Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks
Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks This article investigates the non-orthogonal multiple access (NOMA) enhanced unmanned aerial vehicle (UAV)-to-Everything (U2X) frameworks. A novel 3-Dimension framework for providing wireless services to randomly roaming NOMA receivers (Rxs) in the sph...
https://arxiv.org/abs/1907.05571
null
cs.IT
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05572
1907.05572
R-Transformer: Recurrent Neural Network Enhanced Transformer
R-Transformer: Recurrent Neural Network Enhanced Transformer Recurrent Neural Networks have long been the dominating choice for sequence modeling. However, it severely suffers from two issues: impotent in capturing very long-term dependencies and unable to parallelize the sequential computation procedure. Therefore, m...
https://arxiv.org/abs/1907.05572
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05575
1907.05575
Learning an Urban Air Mobility Encounter Model from Expert Preferences
Learning an Urban Air Mobility Encounter Model from Expert Preferences Airspace models have played an important role in the development and evaluation of aircraft collision avoidance systems for both manned and unmanned aircraft. As Urban Air Mobility (UAM) systems are being developed, we need new encounter models tha...
https://arxiv.org/abs/1907.05575
null
cs.AI
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05576
1907.05576
Neural News Recommendation with Attentive Multi-View Learning
Neural News Recommendation with Attentive Multi-View Learning Personalized news recommendation is very important for online news platforms to help users find interested news and improve user experience. News and user representation learning is critical for news recommendation. Existing news recommendation methods usua...
https://arxiv.org/abs/1907.05576
null
cs.CL
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05584
1907.05584
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams Speaker diarization determines who spoke and when? in an audio stream. In this study, we propose a model-based approach for robust speaker clustering using i-vectors. The ivectors extracted from different segments of same speake...
https://arxiv.org/abs/1907.05584
null
cs.SD
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05585
1907.05585
Beamforming Design in Multiple-Input-Multiple-Output Symbiotic Radio Backscatter Systems
Beamforming Design in Multiple-Input-Multiple-Output Symbiotic Radio Backscatter Systems Symbiotic radio (SR) backscatter systems are possible techniques for the future low-power wireless communications for Internet of Things devices. In this paper, we propose a multiple-input-multiple-output (MIMO) SR backscatter sys...
https://arxiv.org/abs/1907.05585
null
cs.IT
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05587
1907.05587
Stateful Detection of Black-Box Adversarial Attacks
Stateful Detection of Black-Box Adversarial Attacks The problem of adversarial examples, evasion attacks on machine learning classifiers, has proven extremely difficult to solve. This is true even when, as is the case in many practical settings, the classifier is hosted as a remote service and so the adversary does no...
https://arxiv.org/abs/1907.05587
null
cs.CR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05595
1907.05595
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images Severe color casts, low contrast and blurriness of underwater images caused by light absorption and scattering result in a difficult task for exploring underwater environments. Different from most of previous underwater image enha...
https://arxiv.org/abs/1907.05595
null
eess.IV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05597
1907.05597
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model Recognizing activities of daily living (ADLs) plays an essential role in analyzing human health and behavior. The widespread availability of sensors implanted in homes, smartphones, and smart watches have engendered collection of ...
https://arxiv.org/abs/1907.05597
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05598
1907.05598
Coupled-Projection Residual Network for MRI Super-Resolution
Coupled-Projection Residual Network for MRI Super-Resolution Magnetic Resonance Imaging(MRI) has been widely used in clinical application and pathology research by helping doctors make more accurate diagnoses. On the other hand, accurate diagnosis by MRI remains a great challenge as images obtained via present MRI tec...
https://arxiv.org/abs/1907.05598
null
eess.IV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05599
1907.05599
Effective Incorporation of Speaker Information in Utterance Encoding in Dialog
Effective Incorporation of Speaker Information in Utterance Encoding in Dialog In dialog studies, we often encode a dialog using a hierarchical encoder where each utterance is converted into an utterance vector, and then a sequence of utterance vectors is converted into a dialog vector. Since knowing who produced whic...
https://arxiv.org/abs/1907.05599
null
eess.AS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05614
1907.05614
A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations
A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations In this paper, we propose to improve the stabilized POD-ROM introduced by S. Rubino in [37] to deal with the numerical simulation of advection-dominated advection-diffusion-reaction equations. In particular, w...
https://arxiv.org/abs/1907.05614
null
physics.comp-ph
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05618
1907.05618
Detecting coherent explorations in SQL workloads
Detecting coherent explorations in SQL workloads This paper presents a proposal aiming at better understanding a workload of SQL queries and detecting coherent explorations hidden within the workload. In particular, our work investigates SQLShare [11], a database-as-a-service platform targeting scientists and data sci...
https://arxiv.org/abs/1907.05618
null
cs.DB
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05628
1907.05628
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction Disease-gene prediction (DGP) refers to the computational challenge of predicting associations between genes and diseases. Effective solutions to the DGP problem have the potential to accelerate the therapeutic develop...
https://arxiv.org/abs/1907.05628
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05637
1907.05637
Concolic Testing Heap-Manipulating Programs
Concolic Testing Heap-Manipulating Programs Concolic testing is a test generation technique which works effectively by integrating random testing generation and symbolic execution. Existing concolic testing engines focus on numeric programs. Heap-manipulating programs make extensive use of complex heap objects like tr...
https://arxiv.org/abs/1907.05637
null
cs.PL
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05640
1907.05640
AVD: Adversarial Video Distillation
AVD: Adversarial Video Distillation In this paper, we present a simple yet efficient approach for video representation, called Adversarial Video Distillation (AVD). The key idea is to represent videos by compressing them in the form of realistic images, which can be used in a variety of video-based scene analysis appl...
https://arxiv.org/abs/1907.05640
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05647
1907.05647
Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering
Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering Recently there has been increased interest in combining the fields of Model-Driven Engineering (MDE) and Search-Based Software Engineering (SBSE). Such approaches use meta-heuristic search guided by search operato...
https://arxiv.org/abs/1907.05647
null
cs.AI
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05649
1907.05649
Augmenting Type Signatures for Program Synthesis
Augmenting Type Signatures for Program Synthesis Effective program synthesis requires a way to minimise the number of candidate programs being searched. A type signature, for example, places some small restrictions on the structure of potential candidates. We introduce and motivate a distilled program synthesis proble...
https://arxiv.org/abs/1907.05649
null
cs.PL
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05663
1907.05663
Modularization of Research Software for Collaborative Open Source Development
Modularization of Research Software for Collaborative Open Source Development Software systems evolve over their lifetime. Changing conditions, such as requirements or customer requests make it inevitable for developers to perform adjustments to the underlying code base. Especially in the context of open source softwa...
https://arxiv.org/abs/1907.05663
null
cs.SE
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05664
1907.05664
Saliency Maps Generation for Automatic Text Summarization
Saliency Maps Generation for Automatic Text Summarization Saliency map generation techniques are at the forefront of explainable AI literature for a broad range of machine learning applications. Our goal is to question the limits of these approaches on more complex tasks. In this paper we apply Layer-Wise Relevance Pr...
https://arxiv.org/abs/1907.05664
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05666
1907.05666
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems This paper derives a new class of adaptive regularization parameter choice strategies that can be effectively and efficiently applied when regularizing large-scale linear inverse problems by combining standard Tikhonov regularization and projectio...
https://arxiv.org/abs/1907.05666
null
math.NA
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05671
1907.05671
Justifying Diagnosis Decisions by Deep Neural Networks
Justifying Diagnosis Decisions by Deep Neural Networks An integrated approach is proposed across visual and textual data to both determine and justify a medical diagnosis by a neural network. As deep learning techniques improve, interest grows to apply them in medical applications. To enable a transition to workflows ...
https://arxiv.org/abs/1907.05671
10.1016/j.jbi.2019.103248
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05674
1907.05674
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG Deep learning with convolutional neural networks (ConvNets) have dramatically improved learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, there is rising curiosity in inter...
https://arxiv.org/abs/1907.05674
null
eess.SP
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05690
1907.05690
Mercem: Method Name Recommendation Based on Call Graph Embedding
Mercem: Method Name Recommendation Based on Call Graph Embedding Comprehensibility of source code is strongly affected by identifier names, therefore software developers need to give good (e.g. meaningful but short) names to identifiers. On the other hand, giving a good name is sometimes a difficult and time-consuming...
https://arxiv.org/abs/1907.05690
null
cs.SE
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05698
1907.05698
Teach an all-rounder with experts in different domains
Teach an all-rounder with experts in different domains In many automatic speech recognition (ASR) tasks, an ideal model has to be applicable over multiple domains. In this paper, we propose to teach an all-rounder with experts in different domains. Concretely, we build a multi-domain acoustic model by applying the tea...
https://arxiv.org/abs/1907.05698
null
eess.AS
2019-07-09T00:00:00+00:00
pre2021
2019-07-09
2,019
0.992986
0.848017
0.996071
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-09, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05701
1907.05701
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition Modern Automatic Speech Recognition (ASR) systems rely on distributed deep learning to for quick training completion. To enable efficient distributed training, it is imperative that the training algorithms can converge with a large mi...
https://arxiv.org/abs/1907.05701
null
eess.AS
2019-07-10T00:00:00+00:00
pre2021
2019-07-10
2,019
0.992977
0.848003
0.996069
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05702
1907.05702
Smart Cities: The Hopes and Hypes
Smart Cities: The Hopes and Hypes Smart cities are being planned for several advanced applications and services for the inhabitants. Smart cities initiative promise many new services which are not possible in the traditional city frameworks. In the smart city framework, the basic aim is to provide all the essential se...
https://arxiv.org/abs/1907.05702
null
eess.SP
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05708
1907.05708
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks Respiratory diseases are among the most common causes of severe illness and death worldwide. Prevention and early diagnosis are essential to limit or even reverse the trend that characterizes the diffusion of such diseases. ...
https://arxiv.org/abs/1907.05708
null
eess.AS
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05718
1907.05718
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn
Why Blocking Targeted Adversarial Perturbations Impairs the Ability to Learn Despite their accuracy, neural network-based classifiers are still prone to manipulation through adversarial perturbations. Those perturbations are designed to be misclassified by the neural network, while being perceptually identical to some...
https://arxiv.org/abs/1907.05718
null
cs.LG
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05720
1907.05720
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
Wind Estimation Using Quadcopter Motion: A Machine Learning Approach In this article, we study the well known problem of wind estimation in atmospheric turbulence using small unmanned aerial systems (sUAS). We present a machine learning approach to wind velocity estimation based on quadcopter state measurements withou...
https://arxiv.org/abs/1907.05720
null
eess.SP
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05725
1907.05725
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples
Space Efficient Approximation to Maximum Matching Size from Uniform Edge Samples Given a source of iid samples of edges of an input graph $G$ with $n$ vertices and $m$ edges, how many samples does one need to compute a constant factor approximation to the maximum matching size in $G$? Moreover, is it possible to obtai...
https://arxiv.org/abs/1907.05725
null
cs.DS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05738
1907.05738
Learning a Curve Guardian for Motorcycles
Learning a Curve Guardian for Motorcycles Up to 17% of all motorcycle accidents occur when the rider is maneuvering through a curve and the main cause of curve accidents can be attributed to inappropriate speed and wrong intra-lane position of the motorcycle. Existing curve warning systems lack crucial state estimatio...
https://arxiv.org/abs/1907.05738
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05740
1907.05740
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation Current state-of-the-art methods for image segmentation form a dense image representation where the color, shape and texture information are all processed together inside a deep CNN. This however may not be ideal as they contain very different type of information ...
https://arxiv.org/abs/1907.05740
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05743
1907.05743
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification The graph convolution network (GCN) is a widely-used facility to realize graph-based semi-supervised learning, which usually integrates node features and graph topologic information to build learning models. However, as for multi-label learning ...
https://arxiv.org/abs/1907.05743
null
cs.LG
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05753
1907.05753
Secrecy Analysis and Learning-based Optimization of Cooperative NOMA SWIPT Systems
Secrecy Analysis and Learning-based Optimization of Cooperative NOMA SWIPT Systems Non-orthogonal multiple access (NOMA) is considered to be one of the best candidates for future networks due to its ability to serve multiple users using the same resource block. Although early studies have focused on transmission relia...
https://arxiv.org/abs/1907.05753
10.1109/ICCW.2019.8756894
eess.SP
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05773
1907.05773
Structured inversion of the Bernstein mass matrix
Structured inversion of the Bernstein mass matrix Bernstein polynomials, long a staple of approximation theory and computational geometry, have also increasingly become of interest in finite element methods. Many fundamental problems in interpolation and approximation give rise to interesting linear algebra questions....
https://arxiv.org/abs/1907.05773
null
math.NA
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05783
1907.05783
Improving the Projection of Global Structures in Data through Spanning Trees
Improving the Projection of Global Structures in Data through Spanning Trees The connection of edges in a graph generates a structure that is independent of a coordinate system. This visual metaphor allows creating a more flexible representation of data than a two-dimensional scatterplot. In this work, we present STAD...
https://arxiv.org/abs/1907.05783
null
cs.GR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05789
1907.05789
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Generating Sentences from Disentangled Syntactic and Semantic Spaces Variational auto-encoders (VAEs) are widely used in natural language generation due to the regularization of the latent space. However, generating sentences from the continuous latent space does not explicitly model the syntactic information. In this...
https://arxiv.org/abs/1907.05789
null
cs.CL
2019-07-06T00:00:00+00:00
pre2021
2019-07-06
2,019
0.993011
0.848057
0.996076
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-06, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05790
1907.05790
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases This paper reports on Qwant Research contribution to tasks 2 and 3 of the DEFT 2019's challenge, focusing on French clinical cases analysis. Task 2 is a task on semantic similarity between clinical cases and discussions. For th...
https://arxiv.org/abs/1907.05790
null
cs.CL
2019-07-06T00:00:00+00:00
pre2021
2019-07-06
2,019
0.993011
0.848057
0.996076
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-06, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05792
1907.05792
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems
Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems Goal-oriented dialog systems, which can be trained end-to-end without manually encoding domain-specific features, show tremendous promise in the customer support use-case e.g. flight booking, hotel reservation, technical suppo...
https://arxiv.org/abs/1907.05792
null
cs.CL
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05793
1907.05793
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN Studies show that Deep Neural Network (DNN)-based image classification models are vulnerable to maliciously constructed adversarial examples. However, little effort has been made to investigate how DNN-based image retrieval models are affected b...
https://arxiv.org/abs/1907.05793
null
cs.CV
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05800
1907.05800
Find It: A Novel Way to Learn Through Play
Find It: A Novel Way to Learn Through Play Autism Spectrum Disorder (ASD) is the area where many researches enduring like Magnetic Resonance Imaging (MRI), called diffusion tensor imaging, Early Start Denver Model (ESDM) to provide an easier life for the people diagnosed. After years and years of combined funding sour...
https://arxiv.org/abs/1907.05800
null
cs.HC
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05816
1907.05816
Towards Optimal Moment Estimation in Streaming and Distributed Models
Towards Optimal Moment Estimation in Streaming and Distributed Models One of the oldest problems in the data stream model is to approximate the $p$-th moment $\|\mathcal{X}\|_p^p = \sum_{i=1}^n |\mathcal{X}_i|^p$ of an underlying vector $\mathcal{X} \in \mathbb{R}^n$, which is presented as a sequence of poly$(n)$ upda...
https://arxiv.org/abs/1907.05816
null
cs.DS
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05818
1907.05818
Verified Self-Explaining Computation
Verified Self-Explaining Computation Common programming tools, like compilers, debuggers, and IDEs, crucially rely on the ability to analyse program code to reason about its behaviour and properties. There has been a great deal of work on verifying compilers and static analyses, but far less on verifying dynamic analy...
https://arxiv.org/abs/1907.05818
null
cs.PL
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05827
1907.05827
Signal Conditioning for Learning in the Wild
Signal Conditioning for Learning in the Wild The mammalian olfactory system learns rapidly from very few examples, presented in unpredictable online sequences, and then recognizes these learned odors under conditions of substantial interference without exhibiting catastrophic forgetting. We have developed a brain-mime...
https://arxiv.org/abs/1907.05827
10.1145/3320288.3320293
cs.NE
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05846
1907.05846
Exploring the context of course rankings on online academic forums
Exploring the context of course rankings on online academic forums University students routinely use the tools provided by online course ranking forums to share and discuss their satisfaction with the quality of instruction and content in a wide variety of courses. Student perception of the efficacy of pedagogies empl...
https://arxiv.org/abs/1907.05846
10.1145/3341161.3342954
cs.CY
2019-07-10T00:00:00+00:00
pre2021
2019-07-10
2,019
0.992977
0.848003
0.996069
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05850
1907.05850
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) Dynamic Bayesian networks (DBNs) are a general model for stochastic processes with partially observed states. Belief filtering in DBNs is the task of inferring the belief state (i.e. the probability distribution over p...
https://arxiv.org/abs/1907.05850
null
cs.AI
2019-07-10T00:00:00+00:00
pre2021
2019-07-10
2,019
0.992977
0.848003
0.996069
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05851
1907.05851
CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs
CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs Using the keyboard LEDs to send data optically was proposed in 2002 by Loughry and Umphress [1] (Appendix A). In this paper we extensively explore this threat in the context of a modern cyber-attack with current hardware and optical equipment. In t...
https://arxiv.org/abs/1907.05851
10.1109/COMPSAC.2019.00118
cs.CR
2019-07-10T00:00:00+00:00
pre2021
2019-07-10
2,019
0.992977
0.848003
0.996069
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05852
1907.05852
A General Decoupled Learning Framework for Parameterized Image Operators
A General Decoupled Learning Framework for Parameterized Image Operators Many different deep networks have been used to approximate, accelerate or improve traditional image operators. Among these traditional operators, many contain parameters which need to be tweaked to obtain the satisfactory results, which we refer ...
https://arxiv.org/abs/1907.05852
null
cs.CV
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05853
1907.05853
A Unified Analysis Approach for Hardware and Software Implementations
A Unified Analysis Approach for Hardware and Software Implementations Smart gadgets are being embedded almost in every aspect of our lives. From smart cities to smart watches, modern industries are increasingly supporting the Internet-of-Things (IoT). SysMART aims at making supermarkets smart, productive, and with a t...
https://arxiv.org/abs/1907.05853
10.1109/MWSCAS.2016.7870083
cs.DC
2019-07-10T00:00:00+00:00
pre2021
2019-07-10
2,019
0.992977
0.848003
0.996069
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-10, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05854
1907.05854
The University of Edinburgh's Submissions to the WMT19 News Translation Task
The University of Edinburgh's Submissions to the WMT19 News Translation Task The University of Edinburgh participated in the WMT19 Shared Task on News Translation in six language directions: English-to-Gujarati, Gujarati-to-English, English-to-Chinese, Chinese-to-English, German-to-English, and English-to-Czech. For a...
https://arxiv.org/abs/1907.05854
null
cs.CL
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05855
1907.05855
DisCoRL: Continual Reinforcement Learning via Policy Distillation
DisCoRL: Continual Reinforcement Learning via Policy Distillation In multi-task reinforcement learning there are two main challenges: at training time, the ability to learn different policies with a single model; at test time, inferring which of those policies applying without an external signal. In the case of contin...
https://arxiv.org/abs/1907.05855
null
cs.LG
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05867
1907.05867
Global Stabilization of 2D Forced Viscous Burgers' Equation Around Nonconstant Steady State Solution by Nonlinear Neumann Boundary Feedback Control:Theory and Finite Element Analysis
Global Stabilization of 2D Forced Viscous Burgers' Equation Around Nonconstant Steady State Solution by Nonlinear Neumann Boundary Feedback Control:Theory and Finite Element Analysis Global stabilization of viscous Burgers' equation around constant steady state solution has been discussed in the literature. The main o...
https://arxiv.org/abs/1907.05867
null
math.OC
2019-07-11T00:00:00+00:00
pre2021
2019-07-11
2,019
0.992968
0.847989
0.996067
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-11, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05871
1907.05871
Phoenix -- The Arabic Object-Oriented Programming Language
Phoenix -- The Arabic Object-Oriented Programming Language A computer program is a set of electronic instructions executed from within the computer memory by the computer central processing unit. Its purpose is to control the functionalities of the computer allowing it to perform various tasks. Basically, a computer p...
https://arxiv.org/abs/1907.05871
null
cs.PL
2019-05-24T00:00:00+00:00
pre2021
2019-05-24
2,019
0.993351
0.848594
0.996147
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-05-24, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1907.05873
1907.05873
Compiler Design for Legal Document Translation in Digital Government
Compiler Design for Legal Document Translation in Digital Government One of the main purposes of a computer is automation. In fact, automation is the technology by which a manual task is performed with minimum or zero human assistance. Over the years, automation has proved to reduce operation cost and maintenance time...
https://arxiv.org/abs/1907.05873
null
cs.PL
2019-05-24T00:00:00+00:00
pre2021
2019-05-24
2,019
0.993351
0.848594
0.996147
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-05-24, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1208.1975
1208.1975
Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs
Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs Block iterative methods are extremely important as smoothers for multigrid methods, as preconditioners for Krylov methods, and as solvers for diagonally dominant linear systems. Developing robust and efficient algorithms suitable ...
https://arxiv.org/abs/1208.1975
null
cs.DC
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1412.6579
1412.6579
A Hoare logic for the coinductive trace-based big-step semantics of While
A Hoare logic for the coinductive trace-based big-step semantics of While In search for a foundational framework for reasoning about observable behavior of programs that may not terminate, we have previously devised a trace-based big-step semantics for While. In this semantics, both traces and evaluation (relating ini...
https://arxiv.org/abs/1412.6579
10.2168/LMCS-11(1:1)2015
cs.LO
2015-02-08T00:00:00+00:00
pre2021
2015-02-08
2,015
0.995325
0.851731
0.996547
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2015-02-08, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1610.06985
1610.06985
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields In this paper, we propose and compare two spectral angle based approaches for spatial-spectral classification. Our methods use the spectral angle to generate unary energies in a grid-structured Mark...
https://arxiv.org/abs/1610.06985
10.1109/WHISPERS.2016.8071716
cs.CV
2016-10-22T00:00:00+00:00
pre2021
2016-10-22
2,016
0.995271
0.851644
0.996536
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2016-10-22, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1610.06987
1610.06987
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data Statistical models have been successful in accurately estimating the biochemical contents of vegetation from the reflectance spectra. However, their performance deteriorates when there is a scarcity of sizable amount of ground truth data for modelin...
https://arxiv.org/abs/1610.06987
10.1109/WHISPERS.2016.8071800
cs.CV
2016-10-22T00:00:00+00:00
pre2021
2016-10-22
2,016
0.995271
0.851644
0.996536
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2016-10-22, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1612.00693
1612.00693
From signatures to monads in UniMath
From signatures to monads in UniMath The term UniMath refers both to a formal system for mathematics, as well as a computer-checked library of mathematics formalized in that system. The UniMath system is a core dependent type theory, augmented by the univalence axiom. The system is kept as small as possible in order t...
https://arxiv.org/abs/1612.00693
10.1007/s10817-018-9474-4
cs.LO
2016-12-02T00:00:00+00:00
pre2021
2016-12-02
2,016
0.995261
0.851628
0.996534
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2016-12-02, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1702.05543
1702.05543
A Fixed-Parameter Perspective on #BIS
A Fixed-Parameter Perspective on #BIS The problem of (approximately) counting the independent sets of a bipartite graph (#BIS) is the canonical approximate counting problem that is complete in the intermediate complexity class #RHÎ _1. It is believed that #BIS does not have an efficient approximation algorithm but als...
https://arxiv.org/abs/1702.05543
10.4230/LIPIcs.IPEC.2017.13
cs.CC
2019-07-14T00:00:00+00:00
pre2021
2019-07-14
2,019
0.992942
0.847948
0.996062
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1703.01009
1703.01009
Optimal Time and Space Construction of Suffix Arrays and LCP Arrays for Integer Alphabets
Optimal Time and Space Construction of Suffix Arrays and LCP Arrays for Integer Alphabets Suffix arrays and LCP arrays are one of the most fundamental data structures widely used for various kinds of string processing. We consider two problems for a read-only string of length $N$ over an integer alphabet $[1, \dots, Ï...
https://arxiv.org/abs/1703.01009
null
cs.DS
2019-07-13T00:00:00+00:00
pre2021
2019-07-13
2,019
0.992951
0.847962
0.996064
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1705.07222
1705.07222
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking In the same vein of discriminative one-shot learning, Siamese networks allow recognizing an object from a single exemplar with the same class label. However, they do not take advantage of the underlying structure of the data and the relationship...
https://arxiv.org/abs/1705.07222
10.1109/TIP.2019.2898567
cs.CV
2019-07-14T00:00:00+00:00
pre2021
2019-07-14
2,019
0.992942
0.847948
0.996062
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1708.00611
1708.00611
Targeting and Signaling in Ad Auctions
Targeting and Signaling in Ad Auctions Modern ad auctions allow advertisers to target more specific segments of the user population. Unfortunately, this is not always in the best interest of the ad platform. In this paper, we examine the following basic question in the context of second-price ad auctions: how should a...
https://arxiv.org/abs/1708.00611
null
cs.GT
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1708.03416
1708.03416
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolutional neural network, accurate hand pose estimation is st...
https://arxiv.org/abs/1708.03416
10.1016/j.neucom.2018.06.097
cs.CV
2018-06-24T00:00:00+00:00
pre2021
2018-06-24
2,018
0.994754
0.850819
0.996433
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-06-24, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1710.08436
1710.08436
HyperMinHash: MinHash in LogLog space
HyperMinHash: MinHash in LogLog space In this extended abstract, we describe and analyze a lossy compression of MinHash from buckets of size $O(\log n)$ to buckets of size $O(\log\log n)$ by encoding using floating-point notation. This new compressed sketch, which we call HyperMinHash, as we build off a HyperLogLog sc...
https://arxiv.org/abs/1710.08436
null
cs.DS
2019-07-13T00:00:00+00:00
pre2021
2019-07-13
2,019
0.992951
0.847962
0.996064
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1710.11284
1710.11284
Some regularity and convergence results for parabolic Hamilton-Jacobi-Bellman equations in bounded domains
Some regularity and convergence results for parabolic Hamilton-Jacobi-Bellman equations in bounded domains We study the approximation of parabolic Hamilton-Jacobi-Bellman (HJB) equations in bounded domains with strong Dirichlet boundary conditions. We work under the assumption of the existence of a sufficiently regula...
https://arxiv.org/abs/1710.11284
null
math.NA
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1711.03842
1711.03842
Refinement Reflection: Complete Verification with SMT
Refinement Reflection: Complete Verification with SMT We introduce Refinement Reflection, a new framework for building SMT-based deductive verifiers. The key idea is to reflect the code implementing a user-defined function into the function's (output) refinement type. As a consequence, at uses of the function, the fun...
https://arxiv.org/abs/1711.03842
10.1145/3158141
cs.PL
2017-11-09T00:00:00+00:00
pre2021
2017-11-09
2,017
0.995082
0.851342
0.996498
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2017-11-09, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1712.07431
1712.07431
Text Indexing and Searching in Sublinear Time
Text Indexing and Searching in Sublinear Time We introduce the first index that can be built in $o(n)$ time for a text of length $n$, and can also be queried in $o(q)$ time for a pattern of length $q$. On an alphabet of size $σ$, our index uses $O(n\sqrt{\log n\logσ})$ bits, is built in $O(n((\log\log n)^2+\sqrt{\lo...
https://arxiv.org/abs/1712.07431
null
cs.DS
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1801.00428
1801.00428
Sanskrit Sandhi Splitting using seq2(seq)^2
Sanskrit Sandhi Splitting using seq2(seq)^2 In Sanskrit, small words (morphemes) are combined to form compound words through a process known as Sandhi. Sandhi splitting is the process of splitting a given compound word into its constituent morphemes. Although rules governing word splitting exists in the language, it i...
https://arxiv.org/abs/1801.00428
null
cs.CL
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1801.09436
1801.09436
Local Visual Microphones: Improved Sound Extraction from Silent Video
Local Visual Microphones: Improved Sound Extraction from Silent Video Sound waves cause small vibrations in nearby objects. A few techniques exist in the literature that can extract sound from video. In this paper we study local vibration patterns at different image locations. We show that different locations in the i...
https://arxiv.org/abs/1801.09436
10.5244/C.31.102
cs.CV
2018-01-29T00:00:00+00:00
pre2021
2018-01-29
2,018
0.994994
0.851203
0.996481
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-01-29, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1802.04350
1802.04350
Cost-Aware Learning for Improved Identifiability with Multiple Experiments
Cost-Aware Learning for Improved Identifiability with Multiple Experiments We analyze the sample complexity of learning from multiple experiments where the experimenter has a total budget for obtaining samples. In this problem, the learner should choose a hypothesis that performs well with respect to multiple experime...
https://arxiv.org/abs/1802.04350
null
cs.LG
2019-07-13T00:00:00+00:00
pre2021
2019-07-13
2,019
0.992951
0.847962
0.996064
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1802.05656
1802.05656
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network Low-dose computed tomography (CT) has attracted a major attention in the medical imaging field, since CT-associated x-ray radiation carries health risks for patients. The reduction of CT radiation dose, however, co...
https://arxiv.org/abs/1802.05656
10.1109/TMI.2018.2832217
cs.CV
2018-04-29T00:00:00+00:00
pre2021
2018-04-29
2,018
0.994862
0.850991
0.996455
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-04-29, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1803.03559
1803.03559
Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters
Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters Data privacy is crucial when dealing with biometric data. Accounting for the latest European data privacy regulation and payment service directive, biometric template protection is essential for any commercial...
https://arxiv.org/abs/1803.03559
10.21437/Odyssey.2018-3
cs.CR
2018-03-09T00:00:00+00:00
pre2021
2018-03-09
2,018
0.994942
0.85112
0.996471
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-03-09, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1803.05513
1803.05513
Limitations of P-Values and $R^2$ for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment
Limitations of P-Values and $R^2$ for Stepwise Regression Building: A Fairness Demonstration in Health Policy Risk Adjustment Stepwise regression building procedures are commonly used applied statistical tools, despite their well-known drawbacks. While many of their limitations have been widely discussed in the litera...
https://arxiv.org/abs/1803.05513
10.1080/00031305.2018.1518269
econ.EM
2018-08-07T00:00:00+00:00
pre2021
2018-08-07
2,018
0.994652
0.850657
0.996413
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-08-07, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1804.02293
1804.02293
Phase Transitions of the Moran Process and Algorithmic Consequences
Phase Transitions of the Moran Process and Algorithmic Consequences The Moran process is a random process that models the spread of genetic mutations through graphs. If the graph is connected, the process eventually reaches "fixation", where every vertex is a mutant, or "extinction", where no vertex is a mutant. Our m...
https://arxiv.org/abs/1804.02293
null
math.PR
2019-07-14T00:00:00+00:00
pre2021
2019-07-14
2,019
0.992942
0.847948
0.996062
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1804.04810
1804.04810
Mutual Suppression Network for Video Prediction using Disentangled Features
Mutual Suppression Network for Video Prediction using Disentangled Features Video prediction has been considered a difficult problem because the video contains not only high-dimensional spatial information but also complex temporal information. Video prediction can be performed by finding features in recent frames, an...
https://arxiv.org/abs/1804.04810
null
cs.CV
2019-07-14T00:00:00+00:00
pre2021
2019-07-14
2,019
0.992942
0.847948
0.996062
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1804.07789
1804.07789
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization In this work, we focus on the task of generating natural language descriptions from a structured table of facts containing fields (such as nationality, occupation, etc) and values (such as Indian, actor, direct...
https://arxiv.org/abs/1804.07789
null
cs.CL
2018-04-20T00:00:00+00:00
pre2021
2018-04-20
2,018
0.994877
0.851016
0.996458
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-04-20, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1804.07790
1804.07790
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization Structured data summarization involves generation of natural language summaries from structured input data. In this work, we consider summarizing structured data occurring in the form of tables as they are prevalent across a...
https://arxiv.org/abs/1804.07790
null
cs.CL
2018-04-20T00:00:00+00:00
pre2021
2018-04-20
2,018
0.994877
0.851016
0.996458
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-04-20, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.4% of ...
true
arxiv:1805.06157
1805.06157
Zero-Shot Object Detection by Hybrid Region Embedding
Zero-Shot Object Detection by Hybrid Region Embedding Object detection is considered as one of the most challenging problems in computer vision, since it requires correct prediction of both classes and locations of objects in images. In this study, we define a more difficult scenario, namely zero-shot object detection...
https://arxiv.org/abs/1805.06157
null
cs.CV
2018-05-17T00:00:00+00:00
pre2021
2018-05-17
2,018
0.994829
0.85094
0.996448
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-05-17, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1805.07132
1805.07132
Cooperative Multi-Bitrate Video Caching and Transcoding in Multicarrier NOMA-Assisted Heterogeneous Virtualized MEC Networks
Cooperative Multi-Bitrate Video Caching and Transcoding in Multicarrier NOMA-Assisted Heterogeneous Virtualized MEC Networks Cooperative video caching and transcoding in mobile edge computing (MEC) networks is a new paradigm for future wireless networks, e.g., 5G and 5G beyond, to reduce scarce and expensive backhaul ...
https://arxiv.org/abs/1805.07132
10.1109/ACCESS.2019.2927903
cs.IT
2019-04-14T00:00:00+00:00
pre2021
2019-04-14
2,019
0.993622
0.849023
0.996203
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-04-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1806.11169
1806.11169
3D Normal Coordinate Systems for Cortical Areas
3D Normal Coordinate Systems for Cortical Areas A surface-based diffeomorphic algorithm to generate 3D coordinate grids in the cortical ribbon is described. In the grid, normal coordinate lines are generated by the diffeomorphic evolution from the grey/white (inner) surface to the grey/csf (outer) surface. Specificall...
https://arxiv.org/abs/1806.11169
null
cs.CV
2019-07-13T00:00:00+00:00
pre2021
2019-07-13
2,019
0.992951
0.847962
0.996064
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1807.01232
1807.01232
SpaceNet: A Remote Sensing Dataset and Challenge Series
SpaceNet: A Remote Sensing Dataset and Challenge Series Foundational mapping remains a challenge in many parts of the world, particularly in dynamic scenarios such as natural disasters when timely updates are critical. Updating maps is currently a highly manual process requiring a large number of human labelers to eit...
https://arxiv.org/abs/1807.01232
null
cs.CV
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1807.05207
1807.05207
Parametric generation of conditional geological realizations using generative neural networks
Parametric generation of conditional geological realizations using generative neural networks Deep learning techniques are increasingly being considered for geological applications where -- much like in computer vision -- the challenges are characterized by high-dimensional spatial data dominated by multipoint statist...
https://arxiv.org/abs/1807.05207
10.1007/s10596-019-09850-7
stat.ML
2019-07-15T00:00:00+00:00
pre2021
2019-07-15
2,019
0.992933
0.847934
0.99606
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-15, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1807.05620
1807.05620
NEUZZ: Efficient Fuzzing with Neural Program Smoothing
NEUZZ: Efficient Fuzzing with Neural Program Smoothing Fuzzing has become the de facto standard technique for finding software vulnerabilities. However, even state-of-the-art fuzzers are not very efficient at finding hard-to-trigger software bugs. Most popular fuzzers use evolutionary guidance to generate inputs that ...
https://arxiv.org/abs/1807.05620
null
cs.CR
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1807.08869
1807.08869
Joint Time-Frequency Scattering
Joint Time-Frequency Scattering In time series classification and regression, signals are typically mapped into some intermediate representation used for constructing models. Since the underlying task is often insensitive to time shifts, these representations are required to be time-shift invariant. We introduce the j...
https://arxiv.org/abs/1807.08869
10.1109/TSP.2019.2918992
cs.SD
2019-07-12T00:00:00+00:00
pre2021
2019-07-12
2,019
0.99296
0.847976
0.996066
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-12, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1808.02290
1808.02290
How did the discussion go: Discourse act classification in social media conversations
How did the discussion go: Discourse act classification in social media conversations We propose a novel attention based hierarchical LSTM model to classify discourse act sequences in social media conversations, aimed at mining data from online discussion using textual meanings beyond sentence level. The very uniquene...
https://arxiv.org/abs/1808.02290
10.1007/978-3-030-01872-6_6
cs.CL
2018-08-07T00:00:00+00:00
pre2021
2018-08-07
2,018
0.994652
0.850657
0.996413
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-08-07, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true
arxiv:1808.08578
1808.08578
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image intensity features for segm...
https://arxiv.org/abs/1808.08578
null
cs.CV
2019-07-13T00:00:00+00:00
pre2021
2019-07-13
2,019
0.992951
0.847962
0.996064
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-13, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1808.09560
1808.09560
On Learning 3D Face Morphable Model from In-the-wild Images
On Learning 3D Face Morphable Model from In-the-wild Images As a classic statistical model of 3D facial shape and albedo, 3D Morphable Model (3DMM) is widely used in facial analysis, e.g., model fitting, image synthesis. Conventional 3DMM is learned from a set of 3D face scans with associated well-controlled 2D face i...
https://arxiv.org/abs/1808.09560
10.1109/TPAMI.2019.2927975
cs.CV
2019-07-14T00:00:00+00:00
pre2021
2019-07-14
2,019
0.992942
0.847948
0.996062
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2019-07-14, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.6% of ...
true
arxiv:1808.10664
1808.10664
A novel graph-based model for hybrid recommendations in cold-start scenarios
A novel graph-based model for hybrid recommendations in cold-start scenarios Cold-start is a very common and still open problem in the Recommender Systems literature. Since cold start items do not have any interaction, collaborative algorithms are not applicable. One of the main strategies is to use pure or hybrid con...
https://arxiv.org/abs/1808.10664
null
cs.LG
2018-08-31T00:00:00+00:00
pre2021
2018-08-31
2,018
0.994589
0.850557
0.9964
false
1
6.5026
[ "single_operator" ]
null
Existence bound: content existed on or before 2018-08-31, witnessed by 1 independent operator(s) (arxiv-cornell). Flag [low] single_operator: bound rests on a single operator (arxiv-cornell); compromising it would be sufficient to move the date Under the configured prevalence curve, machine-generated text was ~0.5% of ...
true